International Journal of Energy and Power Engineering

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Influence of Socio-Economic Indicators on Electricity Consumption of Low Voltage Customers in Cameroon

Received: 16 July 2014    Accepted: 25 July 2014    Published: 10 August 2014
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Abstract

In this paper, the demand of Low Voltage electricity customers in Cameroon using electricity as an energy source beginning from the period 1975 to 2011 is modeled. This approach aims to study the consumption determinants (macro- economic indicators, demographic indicators and lagged consumption of low voltage electricity) of low Voltage Customers and to analyze those determinants that have a strong influence on consumption. Parameters estimated by EVIEWS 7.2 software for linear and exponential (CooB-Douglas) models were used. The results show that CooB-Douglass models are better than the linear model. It also shows that: (i) the best linear model is a function of delayed consumption〖 C〗_(t-1) ; overall gross domestic product ((〖GDP_g)〗_t) and population (P_t ); (ii) the best model CooB-Douglas is a function of delayed consumption〖 C〗_(t-1) , the global gross domestic product ((〖GDP_g)〗_t) and the number of subscribers (S_t). It noticed that the macroeconomic indicators have a better influence on demographic consumer’s indicators and that the absence of the delayed consumption variable in a model causes autocorrelation of the residuals models.

DOI 10.11648/j.ijepe.20140304.13
Published in International Journal of Energy and Power Engineering (Volume 3, Issue 4, August 2014)
Page(s) 186-203
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Consumption of Low Voltage Electricity, Linear Regression Models, Macro- Economic Indicators, CooB-Douglass Models, Socio-Economic Parameters, Demographic Indicators, Modeling

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Author Information
  • Environmental Energy Technologies Laboratory (EETL), University of Yaounde I, PO Box 812, Yaounde, Cameroon; Laboratory of Industrial Systems and Environment of the University of Dschang, PO BOX 96, Dschang, Cameroon

  • Environmental Energy Technologies Laboratory (EETL), University of Yaounde I, PO Box 812, Yaounde, Cameroon

  • Laboratory of Industrial Systems and Environment of the University of Dschang, PO BOX 96, Dschang, Cameroon

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  • APA Style

    Flora Isabelle Métégam Fotsing, Donatien Njomo, Réné Tchinda. (2014). Influence of Socio-Economic Indicators on Electricity Consumption of Low Voltage Customers in Cameroon. International Journal of Energy and Power Engineering, 3(4), 186-203. https://doi.org/10.11648/j.ijepe.20140304.13

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    ACS Style

    Flora Isabelle Métégam Fotsing; Donatien Njomo; Réné Tchinda. Influence of Socio-Economic Indicators on Electricity Consumption of Low Voltage Customers in Cameroon. Int. J. Energy Power Eng. 2014, 3(4), 186-203. doi: 10.11648/j.ijepe.20140304.13

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    AMA Style

    Flora Isabelle Métégam Fotsing, Donatien Njomo, Réné Tchinda. Influence of Socio-Economic Indicators on Electricity Consumption of Low Voltage Customers in Cameroon. Int J Energy Power Eng. 2014;3(4):186-203. doi: 10.11648/j.ijepe.20140304.13

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  • @article{10.11648/j.ijepe.20140304.13,
      author = {Flora Isabelle Métégam Fotsing and Donatien Njomo and Réné Tchinda},
      title = {Influence of Socio-Economic Indicators on Electricity Consumption of Low Voltage Customers in Cameroon},
      journal = {International Journal of Energy and Power Engineering},
      volume = {3},
      number = {4},
      pages = {186-203},
      doi = {10.11648/j.ijepe.20140304.13},
      url = {https://doi.org/10.11648/j.ijepe.20140304.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijepe.20140304.13},
      abstract = {In this paper, the demand of Low Voltage electricity customers in Cameroon using electricity as an energy source beginning from the period 1975 to 2011 is modeled. This approach aims to study the consumption determinants (macro- economic indicators, demographic indicators and lagged consumption of low voltage electricity) of low Voltage Customers and to analyze those determinants that have a strong influence on consumption. Parameters estimated by EVIEWS 7.2 software for linear and exponential (CooB-Douglas) models were used. The results show that CooB-Douglass models are better than the linear model. It also shows that: (i) the best linear model is a function of delayed consumption〖 C〗_(t-1)  ; overall gross domestic product ((〖GDP_g)〗_t) and population (P_t  ); (ii) the best model CooB-Douglas is a function of delayed consumption〖 C〗_(t-1)  , the global gross domestic product ((〖GDP_g)〗_t) and the number of subscribers (S_t). It noticed that the macroeconomic indicators have a better influence on demographic consumer’s indicators and that the absence of the delayed consumption variable in a model causes autocorrelation of the residuals models.},
     year = {2014}
    }
    

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  • TY  - JOUR
    T1  - Influence of Socio-Economic Indicators on Electricity Consumption of Low Voltage Customers in Cameroon
    AU  - Flora Isabelle Métégam Fotsing
    AU  - Donatien Njomo
    AU  - Réné Tchinda
    Y1  - 2014/08/10
    PY  - 2014
    N1  - https://doi.org/10.11648/j.ijepe.20140304.13
    DO  - 10.11648/j.ijepe.20140304.13
    T2  - International Journal of Energy and Power Engineering
    JF  - International Journal of Energy and Power Engineering
    JO  - International Journal of Energy and Power Engineering
    SP  - 186
    EP  - 203
    PB  - Science Publishing Group
    SN  - 2326-960X
    UR  - https://doi.org/10.11648/j.ijepe.20140304.13
    AB  - In this paper, the demand of Low Voltage electricity customers in Cameroon using electricity as an energy source beginning from the period 1975 to 2011 is modeled. This approach aims to study the consumption determinants (macro- economic indicators, demographic indicators and lagged consumption of low voltage electricity) of low Voltage Customers and to analyze those determinants that have a strong influence on consumption. Parameters estimated by EVIEWS 7.2 software for linear and exponential (CooB-Douglas) models were used. The results show that CooB-Douglass models are better than the linear model. It also shows that: (i) the best linear model is a function of delayed consumption〖 C〗_(t-1)  ; overall gross domestic product ((〖GDP_g)〗_t) and population (P_t  ); (ii) the best model CooB-Douglas is a function of delayed consumption〖 C〗_(t-1)  , the global gross domestic product ((〖GDP_g)〗_t) and the number of subscribers (S_t). It noticed that the macroeconomic indicators have a better influence on demographic consumer’s indicators and that the absence of the delayed consumption variable in a model causes autocorrelation of the residuals models.
    VL  - 3
    IS  - 4
    ER  - 

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